Use Cases โ†’ AI Governance
#4 For VPs of Engineering

The "Shadow AI" Problem
"20 Devs Using ChatGPT Differently"

Your junior devs are pasting code from Claude that doesn't follow your style guide. You're accumulating "Vibe Coding" debt. ProdMoh enforces your standards before code is generated.

What You're Actually Thinking

Not the conference talk version. The real version.

Marketing speak:

"We need to maximize ROI on engineering resources."

What you're actually thinking:

"Why is headcount up 2x but velocity is flat?"

Marketing speak:

"Achieve product-market fit at scale."

What you're actually thinking:

"Are we building features that actually close deals?"

Marketing speak:

"Scale your engineering operations."

What you're actually thinking:

"Things are starting to break."

Marketing speak:

"Make data-driven product decisions."

What you're actually thinking:

"Stop guessing. What are the big customers actually asking for?"

The "Shadow AI" Problem

What's happening while you're in meetings

๐Ÿ‘ป

The thing that keeps you up at night:

"I have 20 developers using ChatGPT, Claude, and Cursor. Each one is prompting differently. Each one is getting different code. None of it follows our style guide. None of it uses our architectural patterns. We're building Frankenstein's codebase."

๐ŸŽฒ

Random Prompts

Everyone prompts AI differently. One dev gets React classes, another gets hooks, a third gets some weird hybrid.

๐Ÿ“‹

No Context

AI doesn't know your repo uses Hexagonal Architecture. It just generates whatever Google taught it in 2021.

๐Ÿ‘ถ

"Vibe Coding"

Junior devs paste and pray. The code works. But it's not YOUR code. It's not how YOUR team builds things.

Enforce the Standard

Don't ban AI. Control it. Make it work YOUR way.

๐Ÿšฆ

Spec-First Workflow

We block the "Generate Code" button until a Technical Spec exists. No spec? No AI code. It's that simple.

Translation: Developers can't just vibe-code anymore. They have to think about what they're building first.

๐Ÿ’‰

Context Injection

We auto-inject your repo's architectural patterns into every prompt. "Hexagonal Architecture." "React Hooks Only." "Our error handling pattern."

Translation: AI generates code that looks like your Staff Engineer wrote it. Every time.

The Outcome

Junior Devs Ship Senior-Quality Code

๐Ÿ“

Same Patterns

Every dev, same architecture

โœ“

Same Style

Your conventions, enforced

๐Ÿง‘โ€๐Ÿ’ป

Same Quality

Looks like Staff wrote it

Bottom line: You stop reviewing AI code and start reviewing features.

What You Can Standardize

Rules that get baked into every AI prompt

๐Ÿ—๏ธ Architecture

  • โ†’ Hexagonal / Clean Architecture
  • โ†’ Domain-Driven Design patterns
  • โ†’ Repository pattern for data access
  • โ†’ Service layer conventions

โš›๏ธ Frontend

  • โ†’ React Hooks only (no classes)
  • โ†’ Specific state management (Zustand, Redux)
  • โ†’ Component file structure
  • โ†’ CSS methodology (Tailwind, CSS Modules)

๐Ÿ” Security

  • โ†’ Input validation requirements
  • โ†’ Authentication patterns
  • โ†’ PII handling rules
  • โ†’ No secrets in code

๐Ÿ“Š Observability

  • โ†’ Structured logging format
  • โ†’ Error handling patterns
  • โ†’ Metrics and tracing
  • โ†’ No console.log in production
๐ŸŽฏ

For the VP Who's Terrified

You've seen what happens when developers use AI without guardrails. You don't want to ban it โ€” that's a losing battle. You want to control it. Make it work on YOUR terms.

โœ“ No more random patterns โœ“ No more Frankenstein code โœ“ No more "vibe coding" โœ“ Audit-ready from day 1

Take Back Control of Your AI

20 developers. 1 standard. Code that looks like your best engineer wrote every line.

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